PNNL

Solvent-Treated Zirconium-Based Nanoporous UiO-66 Metal-Organic Frameworks for Enhanced CO2 Capture

Partitioning Ice Nucleating Particle Measurements Facilitates Improved Process Level Understanding in Models

Partitioning measured ice nucleating particle concentrations into individual particle types leads to a better understanding of the sources and model representations of these particles.

Convective Inhibition Explains Regional Differences in Tropical Precipitation

The roles of the various environmental variables in the transition from suppressed to active tropical precipitation regimes are characterized using statistical analysis and machine learning.

Customization for Current Market Applications of the Carbon Nanotubes Produced by PNNL’s Regenerable Catalytic Pyrolysis (ReCaP) for Scaled Hydrogen Production

New Report Highlights Key Technologies that Can Identify Source of Chemical Weapons

PNNL researchers are key contributors to GAO report

Predicting Catalyst Degradation with Machine Learning

Robert Rallo from Pacific Northwest National Laboratory will direct a machine learning thrust for a new Department of Energy-funded project led by SLAC National Accelerator Laboratory.

Interrogating the Pathogeneses and Complications of Diabetes Mellitus Using Mass Spectrometry-Based Omics

Building a Theoretical Dynamical Model for Thunderstorms over the United States

A new moist potential vorticity model helps researchers understand atmosphere–land moisture exchanges over the United States.

Preface to “From coadsorption and catalysis at solid surfaces to liquid- solid interfaces in theory and experiment, Published in Honor of Professor Robert K. Grasselli, Irsee IX Symposium Kloster Irsee, Germany 16–19 June 2022 (Irsee IX)”

Science for Security: Adam Roberts

Adam Roberts has been named a scientist and engineer level 5 in the national security domain.